The development of customized service is an important way to transform and upgrade China’s mining industry. However, in practice, there remain problems, such as the slow market response speed of service providers and the contradiction between the large-scale development of service providers and the personalized service needs of service demanders. This paper uses the theory and method of service modular design to solve these problems and explores the process-based service modular design method. Service modular design depends largely on the determination of the relationship between service activities and the reasonable division of modules. However, previous research has rarely made use of modular design methods and modeling tools in the mining service context. At the same time, evaluations of the relationship between service activities relying on knowledge and those relying on experience have been inconclusive. Therefore, this paper proposes a service modularization design method based on the fuzzy relation analysis of a design structure matrix (DSM) that solves the optimal module partition scheme. Triangular fuzzy number and fuzzy evidence theory are used to evaluate and fuse the multidimensional and heterogeneous relationship between service activities, and the quantitative processing of the comprehensive relationship between service activities is carried out. On this basis, the service module structure is divided, followed by the construction of the mathematical programming model with the maximum sum of the average cohesion degree in the module and the average coupling degree between modules as the driving goal. The genetic algorithm is used to solve the problem, and the optimal module division result is obtained. Finally, taking the service modular design of SHD coal production enterprises in China as an example, the feasibility of the proposed method is verified.

中文翻译：

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基于模糊设计结构矩阵的服务模块化设计应用：以采矿业为例

发展定制化服务是我国矿业转型升级的重要途径。但在实践中，还存在服务商市场反应速度慢、服务商规模化发展与服务需求者个性化服务需求之间的矛盾等问题。本文运用服务模块化设计的理论和方法来解决这些问题，探索基于流程的服务模块化设计方法。服务模块化设计很大程度上取决于服务活动之间关系的确定和模块的合理划分。然而，以前的研究很少在采矿服务环境中使用模块化设计方法和建模工​​具。同时，对依赖知识的服务活动与依赖经验的服务活动之间关系的评价尚无定论。因此，本文提出了一种基于设计结构矩阵（DSM）模糊关系分析的服务模块化设计方法，求解最优模块划分方案。运用三角模糊数和模糊证据理论对服务活动之间的多维异构关系进行评价和融合，对服务活动之间的综合关系进行量化处理。在此基础上，对服务模块结构进行划分，然后构建以模块内平均内聚度和模块间平均耦合度之和最大为驱动目标的数学规划模型。采用遗传算法求解该问题，得到最优的模块划分结果。最后，以我国SHD煤炭生产企业的服务模块化设计为例，验证了所提方法的可行性。